About
Gianluca Brilli is a postdoctoral researcher in computer engineering at the University of Modena and Reggio Emilia, within the High-Performance Real-Time Laboratory (HiPeRT-Lab) which is located in Modena, Italy.
His main expertise lies in the field of software and hardware acceleration using reconfigurable embedded systems, and his main research interests are main memory QoS regulation and memory interference mitigation on FPGA-based heterogeneous systems.
He graduated in computer engineering in 2018 and he received his Ph.D. in mathematics in February 2022 at the University of Modena and Reggio Emilia
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Professional experience
| 2022 / |
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Postdoctoral Researcher at FIM Department at UNIMORE (HiPeRTLab) |
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| 2017 / |
2018 |
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FIM Department at UNIMORE (HiPeRTLab) |
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University internship in the real-time embedded domain under the guidance of prof. Marko Bertogna and Ing. Paolo Burgio. Under my internship I worked on implementation and testing of convolutional neural networks for object detection and classification on GPU and FPGA platforms |
| 2014 / |
2015 |
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FIM Department at UNIMORE |
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University internship in the field of numerical optimization and parallel computing under the guidance of prof. Luca Zanni. Under my internship I worked on implementation of optimization methods for image denoising on parallel systems |
| 2011 / |
2012 |
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Progetti di Impresa srl |
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front-end developer for public administrations websites |
| 2010 / |
2010 |
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Microlog srl |
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internship in testing and implementation of embedded systems for people counting |
Education
| 2019 / |
2022 |
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PhD in Mathematics |
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| 2015 / |
2018 |
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Master Degree in Computer Engineering |
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| 2012 / |
2015 |
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Bachelor Degree in Computer Science |
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| 2005 / |
2010 |
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High School in Electronics and Telecommunications |
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Technical Knowledge
| web: |
Apache, Tomcat, J2EE, Spring MVC |
| embedded: |
Xilinx FPGA, Vivado, Vivado HLS, Vitis, PetaLinux, STM32 Microcontrollers |
| programming languages: |
C/C++, Java, Python |
| writing tools: |
LaTeX, Office |
| databases: |
PostgreSQL, SQL Server |
